Computer-assisted fracture reduction of proximal femur using preoperative CT data and intraoperative fluoroscopic images. - Yoshikazu Nakajima; Takahito Tashiro; Toshiyuki Okada; Yoshinobu Sato; Nobuhiko Sugano; Masanobu Saito; Kazuo Yonenobu; Hideki Yoshikawa; Takahiro Ochi; Shinichi Tamura (CARS, 2004)

Automated Segmentation of the Liver from 3D CT Images Using Probabilistic Atlas and Multi-level Statistical Shape Model. - Toshiyuki Okada; Ryuji Shimada; Yoshinobu Sato; Masatoshi Hori; Keita Yokota; Masahiko Nakamoto; Yen-Wei Chen 001; Hironobu Nakamura; Shinichi Tamura (MICCAI (1), 2007)

Construction of Hierarchical Multi-Organ Statistical Atlases and Their Application to Multi-Organ Segmentation from CT Images. - Toshiyuki Okada; Keita Yokota; Masatoshi Hori; Masahiko Nakamoto; Hironobu Nakamura; Yoshinobu Sato (MICCAI (1), 2008)

Analysis of Centerline Extraction in Three-Dimensional Scale Space - Extracting Centerline of Vessels in Hepatic Artery. - Motoi Kinishi; Toshiyuki Okada; Masatoshi Hori; Yen-Wei Chen 001; Yoshinobu Sato (ICNC (6), 2009)

Expertise Modeling for Automated Planning of Acetabular Cup in Total Hip Arthroplasty Using Combined Bone and Implant Statistical Atlases. - Itaru Otomaru; Kazuto Kobayashi; Toshiyuki Okada; Masahiko Nakamoto; Yoshiyuki Kagiyama; Masaki Takao; Nobuhiko Sugano; Yukio Tada; Yoshinobu Sato (MICCAI (1), 2009)

Automated Segmentation of the Femur and Pelvis from 3D CT Data of Diseased Hip Using Hierarchical Statistical Shape Model of Joint Structure. - Futoshi Yokota; Toshiyuki Okada; Masaki Takao; Nobuhiko Sugano; Yukio Tada; Yoshinobu Sato (MICCAI (1), 2009)

3D reconstruction of a femoral shape using a parametric model and two 2D fluoroscopic images. - Ryo Kurazume; Kaori Nakamura; Toshiyuki Okada; Yoshinobu Sato; Nobuhiko Sugano; Tsuyoshi Koyama; Yumi Iwashita; Tsutomu Hasegawa (Comput. Vis. Image Underst., 2009)

Computer-Assisted Preoperative Planning for Reduction of Proximal Femoral Fracture Using 3-D-CT Data. - Toshiyuki Okada; Yuuta Iwasaki; Tsuyoshi Koyama; Nobuhiko Sugano; Yen-Wei Chen 001; Kazuo Yonenobu; Yoshinobu Sato (IEEE Trans. Biomed. Eng., 2009)

Abdominal Multi-Organ Segmentation of CT Images Based on Hierarchical Spatial Modeling of Organ Interrelations. - Toshiyuki Okada; Marius George Linguraru; Yasuhide Yoshida; Masatoshi Hori; Ronald M. Summers; Yen-Wei Chen 001; Noriyuki Tomiyama; Yoshinobu Sato (Abdominal Imaging, 2011)

Multi-organ segmentation in abdominal CT images. - Toshiyuki Okada; Marius George Linguraru; Masatoshi Hori; Yuki Suzuki; Ronald M. Summers; Noriyuki Tomiyama; Yoshinobu Sato (EMBC, 2012)

Automated Segmentation and Anatomical Labeling of Abdominal Arteries Based on Multi-organ Segmentation from Contrast-Enhanced CT Data. - Yuki Suzuki; Toshiyuki Okada; Masatoshi Hori; Futoshi Yokota; Marius George Linguraru; Noriyuki Tomiyama; Yoshinobu Sato (CLIP, 2012)

Utilizing Disease-Specific Organ Shape Components for Disease Discrimination: Application to Discrimination of Chronic Liver Disease from CT Data. - Dipti Prasad Mukherjee; Keisuke Higashiura; Toshiyuki Okada; Masatoshi Hori; Yen-Wei Chen 001; Noriyuki Tomiyama; Yoshinobu Sato (MICCAI (1), 2013)

Abdominal Multi-organ CT Segmentation Using Organ Correlation Graph and Prediction-Based Shape and Location Priors. - Toshiyuki Okada; Marius George Linguraru; Masatoshi Hori; Ronald M. Summers; Noriyuki Tomiyama; Yoshinobu Sato (MICCAI (3), 2013)

Automated CT Segmentation of Diseased Hip Using Hierarchical and Conditional Statistical Shape Models. - Futoshi Yokota; Toshiyuki Okada; Masaki Takao; Nobuhiko Sugano; Yukio Tada; Noriyuki Tomiyama; Yoshinobu Sato (MICCAI (2), 2013)

A Liver Atlas Using the Special Euclidean Group. - Mohamed S. Hefny; Toshiyuki Okada; Masatoshi Hori; Yoshinobu Sato; Randy E. Ellis (MICCAI (2), 2015)

Abdominal multi-organ segmentation from CT images using conditional shape-location and unsupervised intensity priors. - Toshiyuki Okada; Marius George Linguraru; Masatoshi Hori; Ronald M. Summers; Noriyuki Tomiyama; Yoshinobu Sato (Medical Image Anal., 2015)

Automated segmentation of upper digestive tract from abdominal contrast-enhanced CT data using hierarchical statistical modeling of organ interrelations. - Shunta Hirayama; Yoshito Otake; Toshiyuki Okada; Masatoshi Hori; Noriyuki Tomiyama; Yoshinobu Sato (Image Processing, 2016)

3D U-JAPA-Net: Mixture of Convolutional Networks for Abdominal Multi-organ CT Segmentation. - Hideki Kakeya; Toshiyuki Okada; Yukio Oshiro (MICCAI (4), 2018)

Automated muscle segmentation from CT images of the hip and thigh using a hierarchical multi-atlas method. - Futoshi Yokota; Yoshito Otake; Masaki Takao; Takeshi Ogawa; Toshiyuki Okada; Nobuhiko Sugano; Yoshinobu Sato (Int. J. Comput. Assist. Radiol. Surg., 2018)